Learning to learn

摘要: Preface. Part I: Overview Articles. 1. Learning to Learn: Introduction and S. Thrun, L. Pratt. 2. A Survey of Connectionist Network Reuse Through Transfer Pratt, B. Jennings. 3. in Cognition A. Robins. II: Prediction. 4. Theoretical Models Learn J. Baxter. 5. Multitask R. Caruana. 6. Making a Low-Dimensional Representation Suitable for Diverse Tasks N. Intrator, Edelman. 7. The Canonical Distortion Measure Vector Quantization Function Approximation 8. Lifelong Algorithms Thrun. III: Relatedness. 9. Parallel Task Knowledge Using Dynamic Rates Based on Relatedness D.L. Silver, R.E. Mercer. 10. Clustering the Selective Cross-Task O'Sullivan. IV: Control. 11. CHILD: First Step Towards Continual M.B. Ring. 12. Reinforcement with Self-Modifying Policies Schmidhuber, et al. 13. Creating Advice-Taking Learners Maclin, J.W. Shavlik. Contributing Authors. Index.